A systematic defect analyzing method, includes: partitioning physical sites into groups to obtain a plurality of groups of physical sites according to a plurality of physical features of a chip corresponding to different potential systematic defects; utilizing a processor to compute at least one defect probability of each group of physical sites; and deriving an analysis result according to the plurality of defect probabilities corresponding to the plurality of groups of physical sites.
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1. A systematic defect analyzing method, comprising: utilizing a processor to perform following steps: receiving a plurality of physical features and a plurality of equivalence classes of suspected physical sites of a portion or all of a chip; partitioning physical sites into groups to obtain a plurality of groups of physical sites according to the plurality of physical features of a chip corresponding to different potential systematic defects; computing at least one defect probability of each group of physical sites; and deriving an analysis result according to the plurality of defect probabilities corresponding to the plurality of groups of physical sites, wherein the analysis result includes a trend result; wherein the step of computing the defect probability of each of the groups of physical sites comprises: according to the plurality of groups of physical sites and the plurality of equivalence classes of suspected physical sites obtained through defect diagnosis, computing a defect probability of each group of physical sites of a site where an equivalence class of a suspected physical site is located for each of the plurality of equivalence classes of suspected physical sites; and the step of deriving the analysis result according to the plurality of defect probabilities corresponding to the plurality of groups of physical sites comprises: computing a variance-within-group of each of the plurality of groups of physical sites according to the plurality of defect probabilities; deriving a simultaneous confidence intervals (SCI) between two neighboring physical sites of the plurality of physical sites according to the plurality of defect probabilities and a plurality of variance-between-groups respectively corresponding to the plurality of groups of physical sites, and further obtaining a plurality of SCIs; and obtaining the trend result according to the plurality of SCIs.
2. A systematic defect analyzing method, comprising: utilizing a processor to perform following steps: receiving a plurality of physical features and a plurality of equivalence classes of suspected physical sites of a portion or all of a chip; partitioning physical sites into groups to obtain a plurality of groups of physical sites according to the plurality of physical features of a chip corresponding to different potential systematic defects; computing at least one defect probability of each group of physical sites; and deriving an analysis result according to the plurality of defect probabilities corresponding to the plurality of groups of physical sites, wherein the analysis result includes a trend result; wherein the step of computing the defect probability of each of the groups of physical sites comprises: according to the plurality of groups of physical sites and the plurality of equivalence classes of suspected physical sites obtained through defect diagnosis, computing a defect probability of each group of physical sites of a site where an equivalence class of a suspected physical site is located for each of the plurality of equivalence classes of suspected physical sites; and the step of deriving the analysis result according to the plurality of defect probabilities corresponding to the plurality of groups of physical sites comprises: computing a variance-within-group of each of the plurality of groups of physical sites according to the plurality of defect probabilities; deriving simultaneous confidence intervals (SCI) between each of the plurality of physical sites according to the plurality of defect probabilities and a plurality of variance-between-groups respectively corresponding to the plurality of groups of physical sites, and further obtaining a plurality of SCIs; and obtaining the prominence result according to the plurality of SCIs.
3. A non-transitory machine readable medium storing a program code, wherein when executed by a processor, the program code enables the processor to perform a systematic defect analysis method, the method comprising: utilizing the processor to perform following steps: receiving a plurality of physical features and a plurality of equivalence classes of suspected physical sites of a portion or all of a chip; partitioning physical sites into groups to obtain a plurality of groups of physical sites according to the plurality of physical features of a chip corresponding to different potential systematic defects; computing at least one defect probability of each group of physical sites; and deriving an analysis result according to the plurality of defect probabilities corresponding to the plurality of groups of physical sites, wherein the analysis result includes a trend result; wherein the step of computing the defect probability of each of the groups of physical sites comprises: according to the plurality of groups of physical sites and the plurality of equivalence classes of suspected physical sites obtained through defect diagnosis, computing a defect probability of each group of physical sites of a site where an equivalence class of a suspected physical site is located for each of the plurality of equivalence classes of suspected physical sites; and the step of deriving the analysis result according to the plurality of defect probabilities corresponding to the plurality of groups of physical sites comprises: computing a variance-within-group of each of the plurality of groups of physical sites according to the plurality of defect probabilities; deriving a simultaneous confidence intervals (SCI) between two neighboring physical sites of the plurality of physical sites according to the plurality of defect probabilities and a plurality of variance-between-groups respectively corresponding to the plurality of groups of physical sites, and further obtaining a plurality of SCIs; and obtaining the trend result according to the plurality of SCIs.
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August 13, 2014
December 15, 2015
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